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Vulnerability Database/CVE-2026-61762

CVE-2026-61762: Nvidia Nemo Megatron Bridge RCE Vulnerability

CVE-2026-61762 is a remote code execution flaw in Nvidia Nemo Megatron Bridge caused by deserialization of untrusted data. Attackers can exploit it to execute code, tamper with data, and disclose information. This article covers technical details, affected versions, impact assessment, and mitigation strategies.

Published:

CVE-2026-61762 Overview

NVIDIA Megatron Bridge contains an insecure deserialization vulnerability [CWE-502] that allows a local authenticated attacker to execute arbitrary code. The flaw stems from the framework processing untrusted serialized data without adequate validation. A successful exploit can lead to code execution, data tampering, and information disclosure within the affected environment.

The vulnerability affects the nvidia:nemo_megatron_bridge component and requires local access with low privileges. No user interaction is needed, and confidentiality, integrity, and availability are all impacted.

Critical Impact

Local attackers with low privileges can achieve arbitrary code execution, tamper with training data or model artifacts, and disclose sensitive information processed by NVIDIA Megatron Bridge workloads.

Affected Products

  • NVIDIA Megatron Bridge (nvidia:nemo_megatron_bridge) — all versions prior to the fixed release
  • NVIDIA NeMo Megatron training pipelines that integrate the Bridge component
  • Downstream workloads consuming serialized checkpoints or configuration objects generated by Megatron Bridge

Discovery Timeline

  • 2026-09-01 - CVE-2026-61762 published to NVD
  • 2026-09-02 - Last updated in NVD database

Technical Details for CVE-2026-61762

Vulnerability Analysis

The vulnerability is an insecure deserialization flaw in NVIDIA Megatron Bridge. The affected code path reconstructs Python objects from serialized inputs without verifying their type or origin. When a crafted serialized payload is loaded, the deserializer instantiates attacker-controlled classes and invokes their reduction methods.

This behavior grants the attacker native code execution under the identity of the process that loads the payload. Because Megatron Bridge typically runs inside training or inference workloads with access to model weights, datasets, and GPU resources, exploitation extends beyond simple code execution. The attacker can tamper with checkpoints, exfiltrate training data, and pivot to adjacent workloads sharing the host or container.

The attack requires local access and low-privileged authentication, which aligns with shared multi-tenant machine learning environments and CI systems where users can submit jobs or artifacts.

Root Cause

The root cause is the use of an unsafe deserialization primitive against data whose provenance is not authenticated. Serialization formats such as Python pickle execute arbitrary callables during object reconstruction. When the Bridge loads checkpoints, cached objects, or configuration payloads without cryptographic verification, any writable input path becomes a code execution sink.

Attack Vector

An attacker with local access places a malicious serialized artifact where Megatron Bridge will load it, such as a shared checkpoint directory, dataset cache, or job input. When a subsequent training or inference process deserializes the artifact, the embedded payload executes in the context of that process. See the NVIDIA security bulletin for vendor-provided technical detail.

No verified exploit code is publicly available. The vulnerability mechanism follows the standard CWE-502 pattern: attacker-controlled serialized bytes reach a deserializer that permits arbitrary class instantiation, resulting in immediate code execution during load.

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Detection Methods for CVE-2026-61762

Indicators of Compromise

  • Unexpected child processes spawned by Python interpreters running Megatron Bridge or NeMo training scripts
  • Modification timestamps on checkpoint or cache files that do not correspond to legitimate training runs
  • Outbound network connections initiated from training containers to unfamiliar hosts shortly after checkpoint load
  • Serialized artifacts (.pkl, .pt, .ckpt) present in shared directories without a corresponding provenance record

Detection Strategies

  • Monitor process lineage for Python deserialization routines spawning shells, package managers, or network utilities
  • Inspect checkpoint and configuration files for embedded __reduce__ payloads or references to os.system, subprocess, or builtins
  • Correlate file writes to shared model directories with the identity of the writing user and job ID
  • Alert on Megatron Bridge processes reading serialized artifacts from world-writable paths

Monitoring Recommendations

  • Enable audit logging for file access on checkpoint, dataset cache, and configuration directories used by Megatron Bridge
  • Capture command-line arguments and environment variables for all NeMo and Megatron training processes
  • Ingest host telemetry from GPU nodes into a centralized data lake to support retrospective hunting once patched versions ship

How to Mitigate CVE-2026-61762

Immediate Actions Required

  • Inventory all hosts and containers running NVIDIA Megatron Bridge and identify shared storage locations they read from
  • Restrict write access to checkpoint, cache, and configuration directories to trusted service accounts only
  • Quarantine serialized artifacts received from untrusted collaborators or upstream pipelines until they can be validated
  • Apply the NVIDIA security update referenced in the NVIDIA product-security advisory as soon as the fixed release is available in your environment

Patch Information

NVIDIA has published a security update for Megatron Bridge. Refer to the NVIDIA product-security advisory 5868 for the fixed version and upgrade instructions. Additional metadata is available in the NVD entry for CVE-2026-61762 and the CVE.org record.

Workarounds

  • Load checkpoints and serialized artifacts only from directories controlled by trusted identities, and enforce filesystem ACLs accordingly
  • Sign model artifacts and validate signatures before deserialization to reject attacker-supplied payloads
  • Run Megatron Bridge processes under least-privilege service accounts inside isolated containers with restricted network egress
  • Where feasible, prefer safe serialization formats (for example, safetensors) for weight transfer instead of pickle-based formats
bash
# Configuration example: restrict checkpoint directory to a trusted service account
sudo chown -R megatron-svc:megatron-svc /opt/nvidia/megatron/checkpoints
sudo chmod -R 750 /opt/nvidia/megatron/checkpoints

# Deny world-writable serialized artifacts from being loaded
find /opt/nvidia/megatron/checkpoints -perm -o+w -type f -print -delete

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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